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Volume Estimation Through High Throughput Phenotyping

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  2020 ASABE Annual International Virtual Meeting  2001502.(doi:10.13031/aim.202001502)
Authors:   Clarice Roo, David C Slaughter, Vivian Vuong
Keywords:   Automation, crop signaling, Robotics, 3D modeling, Sensing.

Abstract. Our engineering group at UC Davis has modified a tractor to develop a ground-based system to collect continuous Multiview data. One of the goals of this project was to use this data to estimate the volume of plants. Using 3D reconstruction models called point clouds, volume of the desired crops can be estimated.. We have developed a novel scalable system to organize the data by plant variety and extract volume estimation of the plants. This volume has larger implications when used to determine plant health, where the plant is in the life cycle or estimate fruit yield of the plant. Our high throughput phenotyping system could make data collection for plant varieties much more efficient for plant breeders and researchers.

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